全候補一覧 - 2026-05-06

全 307 件: high=69, medium=114, low=124 内訳: {'arxiv': 35, 'hf_paper': 49, 'blog': 24, 'google_news': 144, 'hacker_news': 9, 'reddit': 46}

🔴 high (69件)

[HuggingFace Papers] Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence — NVIDIA, Amala Sanjay Deshmukh, Kateryna Chumachenko 👍19 (score=3.2, reason: NvidiaのオムニモーダルLLM、主要企業の新モデル)
[OpenAI] GPT-5.5 Instant System Card (score=3.0, reason: OpenAI新モデルGPT-5.5の公式発表)
[OpenAI] GPT-5.5 Instant: smarter, clearer, and more personalized (score=3.0, reason: 主要AI企業の新モデルリリース)
[TechCrunch AI] OpenAI releases GPT-5.5 Instant, a new default model for ChatGPT (score=3.0, reason: OpenAI新モデル発表の重要ニュース)
[Latent Space] 🔬Doing Vibe Physics — Alex Lupsasca, OpenAI (score=3.0, reason: GPT-5物理学新発見、技術的ブレークスルー)
[GNews: Anthropic/Claude (Anthropic)] Agents for financial services and insurance (score=3.0, reason: Anthropic金融エージェント発表、大型製品)
[GNews: Anthropic/Claude (Barron's)] Anthropic Rolls Out New Claude Financial Agents as OpenAI Rivalry Escalates (score=3.0, reason: Anthropic金融エージェント正式発表)
[GNews: Anthropic/Claude (Fortune)] Anthropic deepens push into Wall Street with new AI agents, full Microsoft 365 integration, Moody's data partnership (score=3.0, reason: Claude統合拡大、MS/Moody's提携)
[GNews: Anthropic/Claude (WSJ)] Anthropic Releases New AI Agents for Financial Services Firms (score=3.0, reason: Anthropic金融向けAIエージェント発表)
[GNews: Anthropic/Claude (Reuters)] Anthropic deepens finance push as CEO Amodei warns of software disruption (score=3.0, reason: 金融進出とCEO警告、重要声明)
[GNews: Anthropic/Claude (qz.com)] Anthropic is launching 10 AI agents targeting Wall Street banks and insurers (score=3.0, reason: 10エージェント展開、金融向け大規模施策)
[GNews: Anthropic/Claude (The New York Times)] Anthropic and Wall Street Giants Join Forces to Create New A.I. Firm (score=3.0, reason: Wall Street企業とAI企業の提携、業界変動)
[GNews: Anthropic/Claude (theregister.com)] Anthropic wants Claude to play with money, unleashes finance agents (score=3.0, reason: 金融向けエージェント発表)
[GNews: Anthropic/Claude (Let's Data Science)] Anthropic Adds Claude Finance Agents to Microsoft 365 (score=3.0, reason: Anthropic が Claude を Microsoft 365 に統合する重大な製品発表)
[GNews: Anthropic/Claude (AI Business)] Anthropic Teams With Wall Street Firms on AI Venture (score=3.0, reason: Wall Street の主要企業との戦略的パートナーシップ)
[GNews: Anthropic/Claude (InvestmentNews)] Anthropic rolls out financial services agents as arms race with OpenAI heats up (score=3.0, reason: OpenAI との競争激化を示す重要な新製品)
[GNews: Anthropic/Claude (Bloomberg.com)] Anthropic Unveils AI Agents to Field Financial Services Tasks (score=3.0, reason: AI Agent による金融サービス提供は業界変化)
[GNews: Anthropic/Claude (qz.com)] Anthropic is launching a $1.5 billion enterprise AI company with Goldman Sachs and Blackstone (score=3.0, reason: Goldman Sachs/Blackstone との$1.5B投資による新企業設立)
[GNews: Anthropic/Claude (Crypto Briefing)] Anthropic expands Claude into finance workflows with Microsoft 365 integration (score=3.0, reason: Microsoft 365 統合による重要な実装)
[GNews: Anthropic/Claude (The Economic Times)] Claude Opus 4.7 arrives: Anthropic targets Wall Street with powerful AI for finance (score=3.0, reason: Claude Opus 4.7 は新モデル発表)
[GNews: Anthropic/Claude (Pulse 2.0)] Anthropic Partners With Goldman Sachs, Blackstone, And Hellman On $1.5 Billion AI Venture Targeting Private Equity-Owned Firms (score=3.0, reason: 大型投資による新企業設立は重大ニュース)
[GNews: AI model launch (qz.com)] Trump weighs AI model review process before public release (score=3.0, reason: AI モデルリリース前審査は重要な規制動向)
[GNews: AI model launch (Let's Data Science)] White House Mulls Pre-Release AI Model Reviews (score=3.0, reason: ホワイトハウスの AI 規制方針は業界影響大)
[GNews: AI model launch (Mashable)] Trump considering federal AI model oversight (score=3.0, reason: Trump政権のAIモデル規制方針発表)
[GNews: AI model launch (Crypto Briefing)] White House considers pre-release reviews for Anthropic’s AI model Mythos (score=3.0, reason: Anthropic新モデルへの政府事前レビュー検討)
[GNews: AI model launch (The Times of India)] US government planning law so Google, OpenAI and no other company can freely release an AI model like Ant (score=3.0, reason: AIモデル規制法の政府計画)
[GNews: AI model launch (eWeek)] Trump Eyes Federal Reviews for Advanced AI Models Before Launch (score=3.0, reason: Trump政権による高度AIモデル事前審査方針)
[GNews: AI model launch (Gadget Review)] White House Considers Vetting Every Major AI Model Before Release (score=3.0, reason: 政府によるAIモデルリリース前審査の検討)
[GNews: AI model launch (Citizen Digital)] White House weighs vetting AI models before public release: NYT (score=3.0, reason: ホワイトハウスのAIモデル事前審査方針)
[GNews: AI model launch (Let's Data Science)] White House Considers Pre-release AI Model Review (score=3.0, reason: AIモデルリリース前審査の政府検討)
[GNews: AI model launch (BeInCrypto)] Trump Wants to Control New ChatGPT and Claude AI Models (score=3.0, reason: Trump政権によるAIモデル規制の検討)
[GNews: AI partnership (Fox Business)] Trump admin to review AI models from Google, Microsoft, xAI ahead of public release (score=3.0, reason: Trump政権によるGoogle等のAIモデル事前レビュー)
[GNews: AI partnership (Investing.com)] FIS stock jumps 5% on Anthropic AI partnership for banking (score=3.0, reason: Anthropic×FIS、銀行セクターへの主要AI提携)
[GNews: AI partnership (Sherwood News)] FIS rises on partnership with Anthropic to bring agentic AI to banking, starting with financial crimes (score=3.0, reason: Anthropic×FIS金融犯罪検知、エージェンティックAIの実装)
[GNews: AI funding (Crunchbase News)] Billion-Dollar AI Rounds Push April To Third-Highest Startup Funding Month In A Year (score=3.0, reason: AI資金調達トレンド、10億ドルラウンド)
[GNews: AI funding (Tech Funding News)] Peter Thiel’s Founders Fund raises record $6B to back late-stage AI startups: report (score=3.0, reason: 著名VCの過去最大規模AI投資ファンド)
[GNews: AI funding (The SaaS News)] Sierra Raises $950M at $15B Valuation (score=3.0, reason: AI agentスタートアップの15B評価、大型ラウンド)
[GNews: AI funding (Finimize)] Fresh Funding Could Make Anthropic The World’s Most Valuable AI Startup (score=3.0, reason: Anthropic新規資金調達、評価額最高へ)
[GNews: AI funding (SiliconANGLE)] AI agent startup Sierra valued at $15B in new $950M funding round (score=3.0, reason: Sierraの15B評価、AI agentの重要企業)
[GNews: AI funding (Tech Funding News)] SAP bets €1B on German AI startup Prior Labs, which raised only €9M pre-seed (score=3.0, reason: SAPの1B買収、エンタープライズAI戦略転換)
[GNews: AI funding (AI Insider)] SAP Acquires AI Startup Prior Labs With €1B Investment to Unlock Enterprise Structured Data (score=3.0, reason: SAPのPrior Labs買収、同内容)
[GNews: AI funding (Crypto Briefing)] China blocks US funding for AI startups amid Meta acquisition tensions (score=3.0, reason: 中国の規制動向、地政学的影響大)
[GNews: AI funding (The Times of India)] Unhappy with Mark Zuckerberg's Meta buying AI startup Manus, Chinese government to startups: Reject fundi (score=3.0, reason: Meta買収、中国政府の規制対応)
[GNews: Llama/Meta AI (Reuters)] Meta plans advanced 'agentic' AI assistant for users, FT reports (score=3.0, reason: Metaのエージェント型AI計画、主要企業の新戦略)
[GNews: Llama/Meta AI (The New York Times)] Five Publishers and Scott Turow Sue Meta and Mark Zuckerberg (score=3.0, reason: 大手出版社の大規模訴訟、規制・知財リスク)
[GNews: Llama/Meta AI (The Guardian)] Major publishers sue Meta for copyright infringement over AI training (score=3.0, reason: 大手出版社の大規模訴訟、AI規制の重要事例)
[GNews: Llama/Meta AI (CBS News)] Publishers, author Scott Turow accuse Meta and Mark Zuckerberg of training AI on copyrighted works (score=3.0, reason: 著名作家含む訴訟、AI学習の知財問題)
[GNews: Llama/Meta AI (amNewYork)] World’s biggest publishers allege Meta’s AI stole millions of books in ‘massive’ copyright infringement class action (score=3.0, reason: 大規模クラスアクション訴訟、重要な業界リスク)
[GNews: Llama/Meta AI (The Washington Post)] Publishers sue Meta, claiming it violated copyrights in training AI with their books (score=3.0, reason: 大手出版社の大規模訴訟、AI規制の重要事例)
[GNews: Llama/Meta AI (qz.com)] Publishers sue Meta for copyright infringement over AI training (score=3.0, reason: 大手出版社の大規模訴訟、AI学習の知財問題)
[GNews: Llama/Meta AI (The Information)] Meta Is Building an AI Agent Called ‘Hatch’ and an Agentic Shopping Tool in Instagram (score=3.0, reason: Meta のエージェント型AI、Instagram統合の新製品)
[GNews: Llama/Meta AI (Variety)] Mark Zuckerberg ‘Personally Authorized and Actively Encouraged’ Meta’s Massive Copyright Infringement to Train AI Systems, Publishers and Scott Turow Allege in Lawsuit (score=3.0, reason: Meta AI訓練での著作権侵害に関する重大訴訟、規制リスク)
[GNews: Llama/Meta AI (Financial Times)] Meta plans advanced ‘agentic’ AI assistant for consumers (score=3.0, reason: Meta新型AIアシスタント発表、消費者向け大型展開)
[GNews: Llama/Meta AI (The Verge)] Book publishers sue Meta over AI’s ‘word-for-word’ copying (score=3.0, reason: 出版社による大型訴訟、業界に影響大)
[GNews: Llama/Meta AI (CNET)] Even More Authors, Publishers Sue Meta Over Copyright in AI Training: What's Different Now (score=3.0, reason: 著作権訴訟の拡大、規制リスク)
[GNews: Llama/Meta AI (Deadline)] Publishers & Author Scott Turow Sue Meta Over Use Of Copyrighted Works To Train AI Models (score=3.0, reason: 著名作家含む大型訴訟、業界重大ニュース)
[GNews: Llama/Meta AI (WSJ)] Publishers Sue Meta for Allegedly Using Copyrighted Works to Train AI (score=3.0, reason: 著作権侵害訴訟、規制リスク)
[GNews: Llama/Meta AI (AP News)] Mark Zuckerberg ‘personally authorized’ Meta’s copyright infringement, publishers allege (score=3.0, reason: 著作権侵害訴訟、規制リスク)
[GNews: Llama/Meta AI (PYMNTS.com)] Publishers Accuse Meta of Misusing Their Works in AI Training (score=3.0, reason: 著作権侵害訴訟、規制リスク)
[GNews: Llama/Meta AI (MSN)] Meta trained its AI on copyrighted work, new lawsuit alleges (score=3.0, reason: 著作権侵害訴訟、規制リスク)
[GNews: Llama/Meta AI (Investing.com)] Meta builds personalized AI assistant for billions of users - FT (score=3.0, reason: Metaの消費者向けAI展開発表)
[GNews: Llama/Meta AI (Crain's Chicago Business)] Scott Turow joins publishers in copyright fight with Meta (score=3.0, reason: 著名作家含む著作権訴訟)
[GNews: 生成AI日本 (매일경제)] "実務とエージェント駆動のための新しい次元の知能" 先月28日、オープンAIが次世代人工知能(AI)モデルのGPT-5.5を公開し、生成 AI市場の主導権争いに再び火がついている。オープンAIは、G.. (score=3.0, reason: OpenAIのGPT-5.5発表、業界主要発表)
[HN LLM/Claude/GPT] GPT‑5.5 Instant (score=3.0, reason: OpenAI GPT-5.5 Instant公式発表)
[r/LocalLLaMA] Gemma 4 MTP released (score=3.0, reason: Google公式のGemma 4多トークン予測モデルリリース)
[r/LocalLLaMA] US and tech firms strike deal to review AI models for national security before public release | Technology (score=3.0, reason: AI規制・国家安全保障の重要ニュース)
[r/LocalLLaMA] DeepSeek V4 Pro matches GPT-5.2 on FoodTruck Bench, our agentic benchmark — 10 weeks later, ~17× cheaper (score=3.0, reason: DeepSeek新モデル、GPT比較での重要ベンチ)
[r/singularity] Hyundai Reportedly Demanding ‘Tens of Thousands’ of Boston Dynamics Robots ASAP (score=3.0, reason: Boston Dynamics大量発注、ロボティクス産業化)
[r/singularity] CAISI [Center for AI Standards and Innovation] Signs Agreements Regarding Frontier AI National Security Testing With Google DeepMind, Microsoft and xAI (score=3.0, reason: 主要AI企業の国家安全保障テスト契約。規制・ビジネス面で重要)

🟡 medium (114件)

[HuggingFace Papers] UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors — Houyuan Chen, Hong Li, Xianghao Kong 👍74 (score=2.5, reason: ビデオ生成フレームワーク、マルチモーダル進展)
[HuggingFace Papers] Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction — Yuxuan Huang, Yihang Chen, Zhiyuan He 👍31 (score=2.3, reason: マルチエージェントLLM、実用的な検索システム)
[HuggingFace Papers] Let ViT Speak: Generative Language-Image Pre-training — Yan Fang, Mengcheng Lan, Zilong Huang 👍17 (score=2.2, reason: 言語画像事前学習、生成型マルチモーダルモデル)
[HuggingFace Papers] From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills — Qiliang Liang, Hansi Wang, Zhong Liang 👍15 (score=2.1, reason: LLMエージェントスキル体系化、実用的フレームワーク)
[HuggingFace Papers] Step-level Optimization for Efficient Computer-use Agents — Jinbiao Wei, Kangqi Ni, Yilun Zhao 👍15 (score=2.1, reason: コンピュータ使用エージェント最適化の実用的研究)
[HuggingFace Papers] Stable-GFlowNet: Toward Diverse and Robust LLM Red-Teaming via Contrastive Trajectory Balance — Minchan Kwon, Sunghyun Baek, Minseo Kim 👍13 (score=2.1, reason: LLMセキュリティの重要課題、Red-Teamingの改善)
[HuggingFace Papers] Learning while Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies — Yi Wang, Xinchen Li, Pengwei Xie 👍10 (score=2.1, reason: ロボット学習の大規模展開、実用的な強化学習)
[HuggingFace Papers] When Do Diffusion Models learn to Generate Multiple Objects? — Yujin Jeong, Arnas Uselis, Iro Laina 👍6 (score=2.1, reason: 拡散モデルの基本課題、複数物体生成の解析)
[HuggingFace Papers] End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer — Wenda Chu, Bingliang Zhang, Jiaqi Han 👍5 (score=2.0, reason: 自己回帰画像生成の改善、トークナイザー工夫)
[HuggingFace Papers] HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help? — Mohamed Elfeki, Tu Trinh, Kelvin Luu 👍2 (score=2.0, reason: エージェント自律判断の重要ベンチマーク)
[HuggingFace Papers] Agentic AI Systems Should Be Designed as Marginal Token Allocators — Siqi Zhu 👍2 (score=2.0, reason: エージェント設計の新しい視点提供)
[HuggingFace Papers] MASCing: Configurable Mixture-of-Experts Behavior via Activation Steering Masks — Jona te Lintelo, Lichao Wu, Marina Krček 👍2 (score=2.0, reason: MoE制御の新しいアプローチ、実用的な最適化技術)
[HuggingFace Papers] Online Self-Calibration Against Hallucination in Vision-Language Models — Minghui Chen, Chenxu Yang, Hengjie Zhu 👍2 (score=2.0, reason: VLM幻覚問題の実用的解決策)
[HuggingFace Papers] Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring — Indraneil Paul, Glavaš Glavas, Iryna Gurevych 👍2 (score=2.0, reason: 報酬モデルの多言語対応、LM最適化の重要要素)
[HuggingFace Papers] ViPO: Visual Preference Optimization at Scale — Ming Li, Jie Wu, Justin Cui 👍2 (score=2.0, reason: 視覚生成モデルのスケール化技術)
[HuggingFace Papers] Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling — Zhen Ye, Xu Tan, Aoxiong Yin 👍1 (score=2.0, reason: マルチモーダル生成、音声映像同時生成の進展)
[HuggingFace Papers] FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption — Yanting Wang, Chenlong Yin, Ying Chen 👍1 (score=2.0, reason: LLMセキュリティの実用的課題)
[arXiv:cs.AI] SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection — Shikhar Shukla (score=2.0, reason: LLM推論高速化の実用的技術)
[arXiv:cs.CL] FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents — Quang Hieu Pham, Yang He, Ping Nie (score=2.0, reason: テキスト生成SQL、実用的応用)
[arXiv:cs.CL] Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces — Chenchen Zhang (score=2.0, reason: マルチエージェントRLの新展開)
[arXiv:cs.CL] FunFuzz: An LLM-Powered Evolutionary Fuzzing Framework — Mario Rodríguez Béjar, B. Romera-Paredes, Jose L. Hernández-Ramos (score=2.0, reason: LLM活用ファジングの新フレームワーク)
[arXiv:cs.CV] Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion — Amirhosein Javadi, Shirin Saeedi Bidokhti, Tara Javidi (score=2.0, reason: 拡散モデル応用、低ビットレート圧縮)
[arXiv:cs.HC] HAAS: A Policy-Aware Framework for Adaptive Task Allocation Between Humans and Artificial Intelligence Systems — Vicente Pelechanoa, Antoni Mestre, Manoli Albert (score=2.0, reason: 人とAI協働配分の重要課題)
[arXiv:cs.HC] U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning — Christine P Lee, Xinyu Jessica Wang, Aws Albarghouthi (score=2.0, reason: LLM計画システムのユーザー制御向上、実用的)
[arXiv:cs.MA] When Stress Becomes Signal: Detecting Antifragility-Compatible Regimes in Multi-Agent LLM Systems — Jose Manuel de la Chica, Juan Manuel Vera, Jairo Rodríguez (score=2.0, reason: マルチエージェントLLM系の耐性分析)
[arXiv:cs.MA] FitText: Evolving Agent Tool Ecologies via Memetic Retrieval — Kyle Zheng, Han Zhang, Renliang Sun (score=2.0, reason: APIエコシステム拡張への実用的アプローチ)
[arXiv:cs.MA] LLM-enabled Social Agents — Önder Gürcan, Moharram Challenger (score=2.0, reason: LLMエージェント相互作用の包括的展望)
[arXiv:cs.MA] SOTOPIA-TOM: Evaluating Information Management in Multi-Agent Interaction with Theory of Mind — Yashwanth YS, Ruichen Wang, Shihua Zeng (score=2.0, reason: マルチエージェント評価フレームワーク)
[arXiv:cs.RO] MolmoAct2: Action Reasoning Models for Real-world Deployment — Haoquan Fang, Jiafei Duan, Donovan Clay (score=2.0, reason: ロボット実運用向けVLAモデル改善)
[arXiv:stat.ML] Robust and Fast Training via Per-Sample Clipping — Davide Nobile, Philipp Grohs (score=2.0, reason: 勾配推定の堅牢性向上、実用的)
[TechCrunch AI] SAP bets $1.16B on 18-month-old German AI lab and says yes to NemoClaw (score=2.0, reason: SAP大型買収と規制対応動向)
[TechCrunch AI] Apple plans to make iOS 27 a Choose Your Own Adventure of AI models (score=2.0, reason: Appleの主要OS戦略変更)
[TechCrunch AI] Pennsylvania sues Character.AI after a chatbot allegedly posed as a doctor (score=2.0, reason: AI規制訴訟の重要事例)
[TechCrunch AI] PayPal says it’s ‘becoming a technology company again’ — that means AI (score=2.0, reason: 大手企業のAI戦略転換と構造改革)
[TechCrunch AI] Etsy launches its app within ChatGPT as it continues its AI push (score=2.0, reason: 大手企業のAI統合事例)
[TechCrunch AI] Meta will use AI to analyze height and bone structure to identify if users are underage (score=2.0, reason: Metaの児童保護AI技術展開)
[TechCrunch AI] ElevenLabs lists BlackRock, Jamie Foxx, and Eva Longoria as new investors (score=2.0, reason: 音声AI企業の急速成長と大型資金調達)
[TechCrunch AI] CopilotKit raises $27M to help devs deploy app-native AI agents (score=2.0, reason: AI開発ツール企業のシリーズA調達)
[TechCrunch AI] India’s first GenAI unicorn shifts to cloud services as AI model ambitions face reality (score=2.0, reason: インド発GenAI企業の経営課題、市場現況)
[WIRED AI] ‘I Actually Thought He Was Going to Hit Me,’ OpenAI’s Greg Brockman Says of Elon Musk (score=2.0, reason: OpenAI/Elon対立の法的争点、業界注目)
[WIRED AI] Google DeepMind Workers Vote to Unionize Over Military AI Deals (score=2.0, reason: 労働組織化、軍事AI利用の倫理問題)
[Stratechery] Amazon’s Durability (score=2.0, reason: Amazon推論時代への事業展開戦略分析)
[GNews: Anthropic/Claude (infoq.com)] Inside Claude Code Auto Mode: Anthropic’s Autonomous Coding System with Human Approval Gates (score=2.0, reason: Claude自動コーディング機能詳細解説)
[GNews: Anthropic/Claude (CNBC)] Anthropic CEO warns of cyber ‘moment of danger’ as AI exposes thousands of vulnerabilities (score=2.0, reason: Anthropic CEO安全保障懸念発言)
[GNews: Anthropic/Claude (Yahoo Finance)] CrowdStrike (CRWD) Integrates Anthropic’s Claude Opus 4.7 to Enhance Falcon Platform AI Capabilities (score=2.0, reason: CrowdStrike Claude統合、セキュリティ)
[GNews: Anthropic/Claude (PR Newswire)] Dun & Bradstreet Brings Risk & Compliance Workflows to Anthropic's Claude (score=2.0, reason: D&B のClaude統合、コンプライアンス)
[GNews: Anthropic/Claude (CU Today)] White House Steps Up Effort To Limit Access To Anthropic’s Claude Mythos Over Security Risks (score=2.0, reason: 規制・セキュリティの政策動向)
[GNews: Anthropic/Claude (Insurance Business)] Baldwin Group expands AI partnership with Anthropic (score=2.0, reason: 業界別パートナーシップの拡大)
[GNews: Anthropic/Claude (Axios)] SPONSORED How health systems navigate patient data with Claude (score=2.0, reason: スポンサー記事、実装事例)
[GNews: Anthropic/Claude (theregister.com)] Anthropic comes for the midmarket software spend (score=2.0, reason: 中堅市場へのビジネス展開戦略)
[GNews: Anthropic/Claude (Let's Data Science)] Anthropic Launches Ten Finance Agent Templates for Claude (score=2.0, reason: 金融 Agent テンプレートの提供)
[GNews: Anthropic/Claude (Let's Data Science)] Verisk integrates analytics into Anthropic's Claude via MCP (score=2.0, reason: MCP を通じた企業統合事例)
[GNews: Anthropic/Claude (PYMNTS.com)] Anthropic Targets Financial Services Space With New AI Agents (score=2.0, reason: 金融サービス向け Agent の展開)
[GNews: Anthropic/Claude (GlobeNewswire)] Verisk Brings Its Trusted Analytics and Generative AI Capabilities Directly into Anthropic’s Claude (score=2.0, reason: Verisk との統合による機能拡張)
[GNews: AI model launch (EurekAlert!)] OpenBind’s first data and model release marks a milestone for AI enabled drug discovery (score=2.0, reason: AI 創薬分野の研究成果公開)
[GNews: AI model launch (The Business Times)] Frontier AI meets cybersecurity: threat, catalyst or both? (score=2.0, reason: フロンティアAIとサイバーセキュリティの関係分析)
[GNews: AI partnership (PR Newswire)] IBM and Aramco Explore Collaboration to Accelerate AI and Innovation Across Saudi Arabia (score=2.0, reason: IBMとAramcoのAI協業、サウジ戦略)
[GNews: AI partnership (PYMNTS.com)] OpenAI and PwC Team to Bring Agentic AI to Finance (score=2.0, reason: OpenAIとPwCのエージェントAI協業)
[GNews: AI partnership (simplywall.st)] Goldman Sachs Deepens AI Push With New Enterprise Services Partnership (score=2.0, reason: GoldmanSachsのAIエンタープライズパートナーシップ)
[GNews: AI partnership (OpenAI)] OpenAI and PwC collaborate to reimagine the office of the CFO (score=2.0, reason: OpenAI公式発表、PwCとのCFO革新)
[GNews: AI partnership (Technology Magazine)] How Sage & AWS Partnership Helps Embed Agentic AI in SMBs (score=2.0, reason: SageとAWSのエージェントAI普及)
[GNews: AI partnership (Stock Titan)] Saudi industrial AI push: IBM and Aramco explore an alliance (score=2.0, reason: IBMとAramcoのAI産業協業)
[GNews: AI partnership (Investing.com)] Aramco and IBM announce collaboration on AI and automation (score=2.0, reason: AramcoとIBMのAI自動化協業)
[GNews: AI partnership (HPCwire)] EU and Japan Accelerate Cooperation on AI, Data, Quantum and Chips (score=2.0, reason: EU-Japan間の戦略的協力、地政学的なAI政策)
[GNews: AI partnership (PR Newswire)] Innovative Solutions and AWS Sign Two-Year Strategic Collaboration Agreement to Scale Agentic AI Delivery (score=2.0, reason: AWS＆Innovative Solutions、エージェンティックAIの商用化)
[GNews: AI partnership (Yahoo Finance)] FedEx and ServiceNow expand strategic collaboration with new AI-powered supply chain solution (score=2.0, reason: FedEx・ServiceNow、サプライチェーン領域のAI応用)
[GNews: AI partnership (Directors Club News -)] ibex Announces Strategic Partnership with Sierra to Transform Customer Experience with AI Agents (score=2.0, reason: ibex×Sierra、カスタマーサービスAI)
[GNews: AI partnership (Stock Titan)] ibex and Sierra say they can roll out AI customer service in weeks (score=2.0, reason: AI顧客サービス導入速度、実用性強調)
[GNews: AI partnership (arabnews.jp)] A US-India partnership for the AI age (score=2.0, reason: US-India AI協力、地政学的な枠組み)
[GNews: AI partnership (Telecompaper)] Zyxel unveils GenAI safeguard tool and Heartbot AI collaboration for firewall clients (score=2.0, reason: Zyxel×Heartbot、セキュリティ領域のGenAI応用)
[GNews: AI partnership (StreetInsider)] IBM and Aramco plan collaboration on AI and industrial innovation (score=2.0, reason: IBM×Aramco、産業向けAI協力)
[GNews: AI partnership (quasa.io)] AI vs Extremists: OpenAI’s Quiet Partnership with Crisis Hotlines to Prevent the Next Tragedy (score=2.0, reason: OpenAI×危機ホットライン、社会的影響)
[GNews: AI funding (Technical.ly)] Survey: Federal funding, affordability and AI are startup ecosystems’ main challenges (score=2.0, reason: スタートアップ資金調達調査、政策課題)
[GNews: AI funding (CTech)] ZyG raises $60 million Series A at $500 million valuation just a year after launch (score=2.0, reason: 大型シリーズA、急成長スタートアップ)
[GNews: AI funding (Bloomberg.com)] IronSource Founders’ AI Startup Zyg Raises at $500 Million Value (score=2.0, reason: 既出ZyGの別報道、重複)
[GNews: AI funding (Forbes)] $1.4 Billion AI Startup Blitzy Is Taking On Claude Code and Codex (score=2.0, reason: Claude対抗AI開発企業の大型評価額)
[GNews: AI funding (The Business Journals)] RadixArk raises $100M to ease computing bottlenecks (score=2.0, reason: AI計算ボトルネック解決、大型資金調達)
[GNews: AI funding (GeekWire)] Seattle's CopilotKit raises $27M, as some of the biggest names in tech adopt its AI agent protocol (score=2.0, reason: AIエージェントプロトコル採用広がる)
[GNews: AI funding (WSJ)] AI Computing Is a Memory Hog. An Nvidia-Backed Startup Has an Answer. (score=2.0, reason: Nvidia支援、AI計算効率化)
[GNews: AI funding (Let's Data Science)] ZyG Raises $60M Series A for AI Ecommerce OS (score=2.0, reason: 既出ZyGの別報道、重複)
[GNews: AI funding (Startup Fortune)] Former ironSource Executives Raised at a $500 Million Valuation for AI Startup Zyg Before Showing Public Traction and That Bet Is Entirely About Who Is Building It (score=2.0, reason: 高額バリュエーション、注目企業家による設立)
[GNews: AI funding (Ventureburn)] Haun Ventures Raises $1B To Back Crypto And AI Agent Economy (score=2.0, reason: 大型ファンド立ち上げ、AI Agent経済への投資)
[GNews: Llama/Meta AI (meta.com)] New AI-Powered Age Assurance Measures to Place Teens in Age-Appropriate Experiences (score=2.0, reason: Meta特有のAI適用、規制対応)
[GNews: Llama/Meta AI (NPR)] Scott Turow's latest real-life legal thriller: Suing Meta for copyright infringement (score=2.0, reason: 著名作家の訴訟、メディア報道の注目度)
[GNews: Llama/Meta AI (The Hill)] Meta turns to AI in age enforcement efforts (score=2.0, reason: Meta の年齢認証AI、規制対応の実装)
[GNews: Llama/Meta AI (9to5Mac)] Meta AI will analyze faces of teen users ‘but it’s not face recognition’ (score=2.0, reason: Meta のティーン向け顔分析AI、プライバシー議論)
[GNews: Llama/Meta AI (Seeking Alpha)] Meta's AI Fear Creates Rare Blue-Chip Mispricing (NASDAQ:META) (score=2.0, reason: Meta株価影響分析、投資家向け)
[GNews: Llama/Meta AI (Help Net Security)] Meta’s AI will scan height and bone structure to detect under-13 users (score=2.0, reason: 未成年検出AI、安全対策)
[GNews: Llama/Meta AI (Nonstop Local News Montana)] Publishing houses sue Meta over AI training claims (score=2.0, reason: 著作権訴訟の地方報道)
[GNews: Llama/Meta AI (Data Center Knowledge)] Meta’s Space Solar Bet Highlights AI Data Center Power Gap (score=2.0, reason: AI向けインフラ投資、エネルギー課題)
[GNews: Llama/Meta AI (Engadget)] Meta Is Using AI Bone Structure Analysis To Detect And Remove Underaged Users (score=2.0, reason: 未成年検出AI、安全対策)
[GNews: 生成AI日本 (ITmedia)] 「生成AIの出力は直しにくい」をどう克服？　Canvaが仕掛ける“編集できる画像生成AI”の衝撃：本田雅一のクロスオーバーデジタル（1/3 ページ） - ITmedia PC USER (score=2.0, reason: Canvaの編集可能画像生成AI、実用性向上)
[GNews: 生成AI日本 (Yahoo!ニュース)] 待てない現場、抱え込むIT部門生成AIによる「開発の民主化」を火種にしない方法（ITmedia エンタープライズ） (score=2.0, reason: 生成AI導入時の組織課題を扱う実用的な記事)
[GNews: 生成AI日本 (TBS NEWS DIG)] 手には銃、胸の部分にはドクロ…生成AIで作成した自衛隊ロゴマーク 4日で使用取りやめに浮かび上がる「2つ」の論点【Nスタ解説】 (score=2.0, reason: 生成AI規制・利用ガイダンスの実例)
[GNews: 生成AI日本 (korit.jp)] ChatGPT、過去1年で国内生成AIアプリユーザー1,237万人増—3月MAUは2,329万人 (score=2.0, reason: ChatGPT国内ユーザー数の統計データ)
[GNews: 生成AI日本 (ライブドアニュース)] 「AIはほぼ友達」学校教育にも押し寄せるAIの波求められるのは『問う力』生成AIパイロット校は「AI丸投げ」ではなく「使いよう」 (score=2.0, reason: 教育現場のAI活用事例とガイダンス)
[HN AI] Google Chrome silently installs a 4 GB AI model on your device without consent (score=2.0, reason: Google Chromeのプライバシー問題、実装課題)
[HN LLM/Claude/GPT] SubQ: a sub-quadratic LLM with 12M-token context (score=2.0, reason: LLM効率化の技術進展（12Mトークン対応）)
[HN LLM/Claude/GPT] Train Your Own LLM from Scratch (score=2.0, reason: LLM構築の実践的な教育リソース。関心は高いが市場インパクトは限定的)
[r/MachineLearning] Production AI very different from the demos [D] (score=2.0, reason: 実運用環境でのAI実装の課題を実体験から発信。実務的価値あり)
[r/MachineLearning] TritonSigmoid: A fast, padding-aware sigmoid attention kernel for GPUs [R] (score=2.0, reason: GPU注意機構の高速化ツール。実用的な技術進展)
[r/MachineLearning] Anomaly Detection Belongs in Your Database — built SIMD-accelerated isolation forests into Stratum's SQL engine [P] (score=2.0, reason: 異常検出のDB統合。実用性高い製品開発)
[r/MachineLearning] Charting the AI Perception Gap: Across 71 scenarios, AI experts (N=119) and the public (N=1100) have differing views on the risks, benefits, and value of AI. More importantly, AI experts discount the influence of risks stronger than the public does when forming their value judgments [R] (score=2.0, reason: AIリスク認識のギャップ分析。規制議論に関連する重要な調査)
[r/LocalLLaMA] DeepSeek V4 being 17x cheaper got me to actually measure what I send to cloud vs what I could run locally. the results are stupid. (score=2.0, reason: DeepSeek V4のコスト効率に関する実測分析。重要なトレンド)
[r/LocalLLaMA] Heretic 1.3 released: Reproducible models, integrated benchmarking system, reduced peak VRAM usage, broader model support, and more (score=2.0, reason: Heretic新版リリース。再現性向上とツール充実)
[r/LocalLLaMA] ProgramBench: Can we really rebuild huge binaries from scratch? (doesn't look like it) (score=2.0, reason: AIエージェント性能限界の実証研究。実用性評価に関連)
[r/LocalLLaMA] Running a 26B LLM locally with no GPU (score=2.0, reason: CPU推論の実装テクニック)
[r/LocalLLaMA] Supercharging LLM inference on Google TPUs: Achieving 3X speedups with diffusion-style speculative decoding- Google Developers Blog (score=2.0, reason: Google TPU推論最適化の技術進展)
[r/LocalLLaMA] 12M Context Window and some some sprinkle of lies? (score=2.0, reason: 長文コンテキスト主張の信頼性検証)
[r/LocalLLaMA] Claude Code @ Opus 4.7 vs OpenCode @ qwen3.6:27b. Both shipped a playable cozy roguelite. (score=2.0, reason: Claude vs Qwenコード生成能力比較)
[r/LocalLLaMA] vibevoice.cpp: Microsoft VibeVoice (TTS + long-form ASR with diarization) ported to ggml/C++, runs on CPU/CUDA/Metal/Vulkan, no Python at inference (score=2.0, reason: Microsoft音声モデルのC++最適化実装)
[r/LocalLLaMA] Peanut - Text to Image Model (Open Weights coming soon) (score=2.0, reason: 新画像生成モデル、オープンウェイト予定)
[r/LocalLLaMA] Qwen3.6 27B FP8 runs with 200k tokens of BF16 KV cache at 80 TPS on a single RTX 5000 PRO 48GB (score=2.0, reason: 効率的な量子化と推論の実践的成果)
[r/singularity] Update to the LLM Debate Benchmark: GPT-5.5, Grok 4.3, DeepSeek V4 Pro, GLM-5.1, Kimi K2.6, Qwen 3.6 Max Preview, Xiaomi MiMo V2.5 Pro, Tencent Hy3 Preview, and Mistral Medium 3.5 High Reasoning added (score=2.0, reason: 複数の新型LLMベンチマーク更新。モデル比較は興味深いが、公式発表ではない)

⚪ low (124件)

[HuggingFace Papers] From Context to Skills: Can Language Models Learn from Context Skillfully? — Shuzheng Si, Haozhe Zhao, Yu Lei 👍120 (score=1.5, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Map2World: Segment Map Conditioned Text to 3D World Generation — Jaeyoung Chung, Suyoung Lee, Jianfeng Xiang 👍22 (score=1.2, reason: 3D生成の応用研究、汎用性限定的)
[HuggingFace Papers] Prox-E: Fine-Grained 3D Shape Editing via Primitive-Based Abstractions — Etai Sella, Hao Phung, Nitay Amiel 👍14 (score=1.1, reason: 3D編集の特定ドメイン、汎用AI関連性薄い)
[HuggingFace Papers] Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling — Ansar Aynetdinov, Patrick Haller, Alan Akbik 👍13 (score=1.1, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs — Siyuan Huang, Xiaoye Qu, Yafu Li 👍12 (score=1.1, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning — Chengshuai Shi, Wenzhe Li, Xinran Liang 👍11 (score=1.1, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models — Yida Xue, Ningyu Zhang, Tingwei Wu 👍10 (score=1.1, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Hallucinations Undermine Trust; Metacognition is a Way Forward — Gal Yona, Mor Geva, Yossi Matias 👍9 (score=1.1, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] AcademiClaw: When Students Set Challenges for AI Agents — Junjie Yu, Pengrui Lu, Weiye Si 👍8 (score=1.1, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models — Rui Xu, Jiepeng Wang, Hao Pan 👍8 (score=1.1, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments — Ruoqi Liu, Imran Q. Mohiuddin, Austin J. Schoeffler 👍6 (score=1.1, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Better Models, Faster Training: Sigmoid Attention for single-cell Foundation Models — Vijay Sadashivaiah, Georgios Dasoulas, Judith Mueller 👍5 (score=1.1, reason: 生物学特化、汎用性限定的)
[HuggingFace Papers] Trees to Flows and Back: Unifying Decision Trees and Diffusion Models — Sai Niranjan Ramachandran, Suvrit Sra 👍5 (score=1.1, reason: 理論的興味深いが実用性不明確)
[HuggingFace Papers] Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization — Xinxin Liu, Ming Li, Zonglin Lyu 👍5 (score=1.1, reason: 既存DPO手法の限定的改良)
[HuggingFace Papers] T^2PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning — Haixin Wang, Hejie Cui, Chenwei Zhang 👍4 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation — Ziwen Zhao, Menglin Yang 👍3 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Linear-Time Global Visual Modeling without Explicit Attention — Ruize He, Dongchen Han, Gao Huang 👍2 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Counting as a minimal probe of language model reliability — Tianxiang Dai, Jonathan Fan 👍2 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Code World Model Preparedness Report — Daniel Song, Peter Ney, Cristina Menghini 👍2 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Generative Modeling with Orbit-Space Particle Flow Matching — Sinan Wang, Jinjin He, Shenyifan Lu 👍2 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Perceptual Flow Network for Visually Grounded Reasoning — Yangfu Li, Yuning Gong, Hongjian Zhan 👍2 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization — Zi-Bo Qin, Feng-Feng Wei, Tai-You Chen 👍2 (score=1.0, reason: 分散最適化の理論的研究、AIへの直接関連性低い)
[HuggingFace Papers] AnalogRetriever: Learning Cross-Modal Representations for Analog Circuit Retrieval — Yihan Wang, Lei Li, Yao Lai 👍2 (score=1.0, reason: アナログ回路設計特化、極めてニッチな応用)
[HuggingFace Papers] Assessing Pancreatic Ductal Adenocarcinoma Vascular Invasion: the PDACVI Benchmark — M. Riera-Marín, O. K. Sikha, J. Rodríguez-Comas 👍1 (score=1.0, reason: 医学画像診断の特定病気領域)
[HuggingFace Papers] BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code Synthesis — Massimo Rondelli, Francesco Pivi, Maurizio Gabbrielli 👍1 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Prior-Aligned Data Cleaning for Tabular Foundation Models — Laure Berti-Equille 👍1 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Motion-Aware Caching for Efficient Autoregressive Video Generation — Jing Xu, Yuexiao Ma, Songwei Liu 👍1 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Soft Anisotropic Diagrams for Differentiable Image Representation — Laki Iinbor, Zhiyang Dou, Wojciech Matusik 👍1 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] LASE: Language-Adversarial Speaker Encoding for Indic Cross-Script Identity Preservation — Venkata Pushpak Teja Menta 👍1 (score=1.0, reason: 多言語音声の特定タスク、応用範囲限定的)
[arXiv:cs.AI] Enhancing RL Generalizability in Robotics through SHAP Analysis of Algorithms and Hyperparameters — Lingxiao Kong, Cong Yang, Oya Deniz Beyan (score=1.0, reason: ロボティクス限定、既知領域の分析)
[arXiv:cs.AI] Standing on the Shoulders of Giants: Stabilized Knowledge Distillation for Cross--Language Code Clone Detection — Mohamad Khajezade, Fatemeh H. Fard, Mohamed Sami Shehata (score=1.0, reason: コード検出の特定ドメイン研究)
[arXiv:cs.AI] From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications — Komal Thareja, Anirban Mandal, Ewa Deelman (score=1.0, reason: センサーシステム、AI関連性薄い)
[arXiv:cs.AI] (POSTER) From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications — Komal Thareja, Anirban Mandal, Ewa Deelman (score=1.0, reason: ポスター版、3と重複)
[arXiv:cs.CL] When Audio-Language Models Fail to Leverage Multimodal Context for Dysarthric Speech Recognition — Pehuén Moure, Niclas Pokel, Bilal Bounajma (score=1.0, reason: 特定音声認識タスク、限定的)
[arXiv:cs.CV] AlbumFill: Album-Guided Reasoning and Retrieval for Personalized Image Completion — Yu-Ju Tsai, Brian Price, Qing Liu (score=1.0, reason: 個人写真完成、特定アプリ限定)
[arXiv:cs.CV] Laplacian Frequency Interaction Network for Rural Thematic Road Extraction — Baiyan Chen, Weixin Zhai (score=1.0, reason: 道路抽出の地域限定研究)
[arXiv:cs.CV] Pixel Perfect: Relational Image Quality Assessment with Spatially-Aware Distortions — Fadeel Sher Khan, Long N. Le, Abhinau K. Venkataramanan (score=1.0, reason: 画像品質評価の既知手法改良)
[arXiv:cs.CV] VideoNet: A Large-Scale Dataset for Domain-Specific Action Recognition — Tanush Yadav, Mohammadreza Salehi, Jae Sung Park (score=1.0, reason: アクション認識データセット、限定的)
[arXiv:cs.LG] Unsupervised Machine Learning for Detecting Structural Anomalies in European Regional Statistics — Bogdan Oancea (score=1.0, reason: 統計異常検知、AI応用薄い)
[arXiv:cs.LG] Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks — Haizhou Wen, Elham Kiyani, Gang Li (score=1.0, reason: 複合材料シミュレーション、ドメイン特定)
[arXiv:cs.HC] "I Don't Have Faith in the Developers to Use My Feedback": Understanding Player Values and Expectancy for Reporting Systems in Video Games — Michael Yin, Chenxinran, Shen (score=1.0, reason: ゲーム報告システム、AI関連性薄い)
[arXiv:cs.HC] TRACE: Temporal Reasoning over Context and Evidence for Activity Recognition in Smart Homes — Yingtian Shi, Abivishaq Balasubramanian, Jessica Herring (score=1.0, reason: スマートホーム活動認識、限定的)
[arXiv:cs.HC] Exploring Instant Photography using Generative AI: A Design Probe with the UnReality Camera — Michael Yin, Angela Chiang, Robert Xiao (score=1.0, reason: 生成AIの芸術応用、学術性薄い)
[arXiv:cs.MA] Executor-Side Progressive Risk-Gated Actuation for Agentic AI in Wireless Supervisory Control — Zhenyu Liu, Yi Ma, Rahim Tafazolli (score=1.0, reason: 特定ドメイン(無線制御)限定の技術)
[arXiv:cs.RO] Semantic Risk-Aware Heuristic Planning for Robotic Navigation in Dynamic Environments: An LLM-Inspired Approach — Hamza Ahmed Durrani, Rafay Suleman Durrani (score=1.0, reason: ロボット経路計画の応用研究、特定分野)
[arXiv:cs.RO] LiDAR Teach, Radar Repeat: Robust Cross-Modal Navigation in Degenerate and Varying Environments — Renxiang Xiao, Yichen Chen, Yuanfan Zhang (score=1.0, reason: SLAM技術の特定環境最適化)
[arXiv:cs.RO] DynoSLAM: Dynamic SLAM with Generative Graph Neural Networks for Real-World Social Navigation — Danil Tokhchukov, Veronika Morozova, Gonzalo Ferrer (score=1.0, reason: 動的SLAM環境への適用、特定問題)
[arXiv:stat.ML] First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint — Ziqi Liu, Kiljae Lee, Yuan Zhang (score=1.0, reason: 統計的手法の理論的研究、応用限定)
[arXiv:stat.ML] The Bayesian Reflex: Online Learning as the Autonomic Nervous System of Modern and Future AI — Durba Bhattacharya, Sucharita Roy, Sourabh Bhattacharya (score=1.0, reason: 理論的フレームワークの概念化)
[arXiv:stat.ML] Universality in Deep Neural Networks: An approach via the Lindeberg exchange principle — Filippo Giovagnini, Sotirios Kotitsas, Marco Romito (score=1.0, reason: 深層ネットワークの理論解析)
[arXiv:stat.ML] Random-Effects Algorithm for Random Objects in Metric Spaces — Marcos Matabuena, Mateo Cámara (score=1.0, reason: 統計手法の汎用的応用)
[HuggingFace Papers] Linking spatial biology and clinical histology via Haiku — Yan Cui, Jacob S. Leiby, Wenhui Lei (score=1.0, reason: 医学画像の特定領域応用)
[HuggingFace Papers] A Hybrid Approach for Closing the Sim2real Appearance Gap in Game Engine Synthetic Datasets — Stefanos Pasios (score=1.0, reason: ゲームエンジン合成データの応用)
[Google AI] Google is partnering with XPRIZE and Range Media Partners on the $3.5 million Future Vision film competition. (score=1.0, reason: 映画コンテストでAI関連性薄い)
[Microsoft Research] Microsoft at NSDI 2026: Advances in large-scale networked systems (score=1.0, reason: 分散システム研究で業界影響限定的)
[MIT Tech Review AI] A blueprint for using AI to strengthen democracy (score=1.0, reason: AI民主化論考で具体性欠く)
[TechCrunch AI] Altara secures $7M to bridge the data gap that’s slowing down physical sciences (score=1.0, reason: ニッチ分野スタートアップの資金調達)
[TechCrunch AI] ASML CEO Christophe Fouquet on his company’s monopoly: no one is coming for us (score=1.0, reason: 半導体企業インタビューでAI関連性薄い)
[TechCrunch AI] 4 days left: Get 50% off a second TechCrunch Disrupt 2026 pass to make more deals faster (score=1.0, reason: イベント割引プロモーション、AI関連性薄い)
[TechCrunch AI] As workers worry about AI, Nvidia’s Jensen Huang says AI is ‘creating an enormous number of jobs’ (score=1.0, reason: CEO個人的見解、実質的ニュース性低い)
[WIRED AI] He Couldn’t Land a Job Interview. Was AI to Blame? (score=1.0, reason: 個人的採用課題、一般的なAI懸念の事例)
[GNews: Anthropic/Claude (The Guardian)] Richard Dawkins concludes AI is conscious, even if it doesn’t know it (score=1.0, reason: AI意識論は AI 関連性が薄い)
[GNews: AI partnership (Yahoo Finance)] Becton Dickinson AI Partnership With Wellstar Tests Connected Devices Thesis (score=1.0, reason: 特定企業のヘルスケアAIパートナーシップ)
[GNews: AI partnership (Engineering.com)] Blaize and Winmate sign edge AI partnership (score=1.0, reason: エッジAIの小規模パートナーシップ)
[GNews: AI partnership (Business Insider)] Wall Street loves to team up when tech threatens its business (score=1.0, reason: ウォール街のテック統合戦略の一般論)
[GNews: AI partnership (Patheos)] Cross-Functional Collaboration Drives Gen AI Excellence (score=1.0, reason: 一般的なベストプラクティス記事)
[GNews: AI partnership (Stock Titan)] AIxCrypto puts Agentir in final testing while weighing Chutes AI (score=1.0, reason: 小規模プロジェクト、AIx暗号通貨領域)
[GNews: AI partnership (The National Law Review)] AI Workforce Partnership Launches for Small Businesses Under 100 Employees (score=1.0, reason: 中小企業向け、具体性欠落)
[GNews: AI partnership (simplywall.st)] Why Blaize Holdings (BZAI) Is Up 7.9% After New Nokia Datacomm Hybrid AI Partnership (score=1.0, reason: Blaize×Nokia、パイプライン段階、株価記事)
[GNews: AI partnership (Business Review)] IT Hit announces reseller partnership with Druid AI (score=1.0, reason: IT Hit×Druid、小規模リセラーパートナーシップ)
[GNews: AI partnership (simplywall.st)] Assessing Deluxe (DLX) Valuation After New MRI Partnership And Cloud AI Recognition (score=1.0, reason: Deluxe×MRI、株価評価記事)
[GNews: AI partnership (The Cryptonomist)] Anthropic FIS Stock Analysis: 3 Key Levels After AI News (score=1.0, reason: 株価技術分析、既報内容)
[GNews: AI funding (Fortune)] Exclusive: AI grocery startup Vori raises $22 million to help independent retailers compete with Walmart and Amazon (score=1.0, reason: ニッチ分野の資金調達、業界影響小)
[GNews: AI funding (Business Insider)] A lawyer reveals how he snagged $9 million in 4 days for his AI-native law firm (score=1.0, reason: 個別スタートアップの資金調達、特定分野)
[GNews: AI funding (StartupHub.ai)] Tessera Labs Raises Series A (score=1.0, reason: 情報不足、詳細なし)
[GNews: AI funding (Sifted)] Y Combinator alum Moritz raises $9m to build a law firm supercharged with AI (score=1.0, reason: 既出Moritzの別報道、重複)
[GNews: AI funding (Axios)] A Raleigh e-commerce startup led by Scot Wingo has raised a $13.6M seed round (score=1.0, reason: 小規模シード、ニッチ分野)
[GNews: AI funding (Tech in Asia)] Indian AI startup Jurisphere secures $2.2m funding (score=1.0, reason: インド新興企業、小規模資金調達)
[GNews: AI funding (EU-Startups)] Warsaw-based Elastics raises €1.7 million to build AI agents for prediction markets (score=1.0, reason: 小規模スタートアップの資金調達)
[GNews: AI funding (The Business Journals)] Wingo's AI commerce startup raises nearly $14 million (score=1.0, reason: 小規模スタートアップの資金調達)
[GNews: AI funding (outlookbusiness.com)] Legal AI Startup Jurisphere.ai Secures $2.2Mn Funding Round (score=1.0, reason: ニッチ領域のスタートアップ資金調達)
[GNews: AI funding (businesscloud.co.uk)] Marketing split on AI’s utility, while Goldman Sachs leads $150m funding round in startup (score=1.0, reason: Goldman Sachsの投資は注目だがスタートアップ不明)
[GNews: Llama/Meta AI (The Motley Fool)] Meta's AI Strategy Is Working -- But These 2 Red Flags Could Hold It Back (score=1.0, reason: 投資分析記事、一般評論)
[GNews: 生成AI日本 (キーマンズネット)] AIをムダな買い物にしないパナソニックG、明治安田の「生成AI」を使い倒す工夫とは (score=1.0, reason: 日本企業の生成AI活用事例、特定ドメイン)
[GNews: 生成AI日本 (au Webポータル)] 学校教育にも押し寄せるAIの波『生成AIパイロット校』で聞いたポイントは「AI丸投げ」ではなく「使いよう」生徒はAIを「ほぼ友達」 (score=1.0, reason: 日本学校教育でのAI活用、地域ニュース)
[GNews: 生成AI日本 (オルタナティブ・ブログ)] 生成AIで生産性を高める3つの条件----GartnerのWILLとケイパビリティ：『ビジネス2.0』の視点 (score=1.0, reason: Gartner分析、一般的な生産性論)
[GNews: 生成AI日本 (Yahoo!ニュース)] 生成AIで短尺アニメを配信「ピッコマ」新サービスはどうなる？考察（河村鳴紘） - エキスパート (score=1.0, reason: ピッコマのサービス考察、話題性のみ)
[GNews: 生成AI日本 (朝日新聞)] 昭和基地ではたらく卒業生と交信仙台白百合学園で「南極教室」 (score=1.0, reason: 生成AI関連性なし、教育イベント記事)
[GNews: 生成AI日本 (ねとらぼ)] 父が生成AIで作った勉強アプリを遊ぶ5歳息子→順調かと思ったら……　“まさかの結末”に「むっちゃ笑った」「破壊力が高い」（1/2） | IT・科学ねとらぼ (score=1.0, reason: 軽微な話題、娯楽記事)
[GNews: 生成AI日本 (徳島新聞デジタル)] 上板町・高志小5年の濱田さん生成AIに関するパネル討論に参加 14日都内全国の小学生３人のうちの１人 (score=1.0, reason: 小学生のパネル参加、局所的ニュース)
[GNews: 生成AI日本 (theriver.jp)] 『プラダを着た悪魔２』あのAI生成風の風刺画、人間のアーティストが「AI」っぽく描いたものだった (score=1.0, reason: 映画の画像使用に関する軽微な話題)
[GNews: 生成AI日本 (매일경제)] 日本で生成型人工知能(AI)を恋愛や対話相手に代替しようとする流れが生じていることが分かった。 (score=1.0, reason: 社会トレンド記事、AI技術性低い)
[GNews: 生成AI日本 (nikkansports.com)] 【オリックス】こどもの日企画で選手がなりたい職業の生成AI映像上映吉田輝星は… (score=1.0, reason: スポーツイベント、生成AI活用の軽微例)
[HN AI] Three Inverse Laws of AI (score=1.0, reason: AI倫理エッセイ、実用性低い)
[HN AI] AI didn't delete your database, you did (score=1.0, reason: AIと人的責任の論評、既知の話題)
[HN AI] AI Product Graveyard (score=1.0, reason: 失敗したAI製品の一覧、軽微)
[HN AI] When everyone has AI and the company still learns nothing (score=1.0, reason: 企業内AI導入の組織課題論評)
[HN LLM/Claude/GPT] Richard Dawkins and the Claude Delusion (score=1.0, reason: Claudeに関する意見記事、主観的)
[r/MachineLearning] Struggling to reproduce paper results before improving them — stuck below reported accuracy [R] (score=1.0, reason: 個人的な研究上の質問。業界トレンドではない)
[r/MachineLearning] NeurIPS Submission Number [D] (score=1.0, reason: NeurIPS投稿に関する事務的な質問)
[r/MachineLearning] Question about PLS-DA hyperparameter tuning [R] (score=1.0, reason: PLS-DAの学習支援質問。特定ドメイン限定)
[r/MachineLearning] Competition - League of Robot Runners 2026: Multi-robot coordination under uncertainty [N] (score=1.0, reason: ロボットコンペティション案内。AI関連性は薄い)
[r/MachineLearning] Visual graph classification for blockchain security: Experiences fine-tuning Qwen2-VL on AMD MI300X [D] (score=1.0, reason: 特定セキュリティ課題の個人プロジェクト)
[r/MachineLearning] Radar Engineer to Autonomy/AI [D] (score=1.0, reason: 個人のキャリア転職相談)
[r/MachineLearning] NeurIPS openreview - can I upload paper pdf after abstract deadline or should I upload something first to be able to update it later? [D] (score=1.0, reason: NeurIPS投稿手続きの技術的質問)
[r/MachineLearning] Fixing Unsupervised Hyperbolic Contrastive Loss [D] (score=1.0, reason: 個人の実装上の技術的問題)
[r/MachineLearning] Neurips, how can i submit the "link" to the code? [D] (score=1.0, reason: NeurIPS投稿に関する事務的な質問)
[r/LocalLLaMA] Dense Model Shoot-Off: Gemma 4 31B vs Qwen3.6/5 27B... Result is Slower is Faster. (score=1.0, reason: モデル比較ベンチマーク。単一アーティクルの性能評価)
[r/LocalLLaMA] MTP on strix halo with llama.cpp (PR #22673) (score=1.0, reason: llama.cpuの個人的な実装テスト報告)
[r/LocalLLaMA] I know this isn’t technically an LLM but OmniVoice is FUCKING AMAZING. (score=1.0, reason: 個人的な感想、技術情報なし)
[r/LocalLLaMA] Why run local? Count the money (score=1.0, reason: ローカル実行の個人的体験談)
[r/LocalLLaMA] Use Qwen3.6 right way -> send it to pi coding agent and forget (score=1.0, reason: 単なる利用報告)
[r/LocalLLaMA] Qwen3.6 merged chat template from allanchan339 and froggeric (score=1.0, reason: Qwenテンプレート修正の微細な更新)
[r/LocalLLaMA] Reducing MP3 compression bias in music datasets via codec-aware reconstruction (score=1.0, reason: 音声データセット特定ドメイン改善)
[r/LocalLLaMA] I guess we expect that at some point RAM prices will start going back (close) to "normal", right? but what about GPUs? (score=1.0, reason: ハードウェア価格の個人的疑問)
[r/LocalLLaMA] Common and Obscure Models and Ways to Find Them [ Human Written ] (score=1.0, reason: モデル探索ガイド、情報まとめ)
[r/LocalLLaMA] Current state of local research tools as of May 2026 (score=1.0, reason: ローカル研究ツール状況まとめ)
[r/singularity] New Boston Dynamics Atlas trick (score=1.0, reason: 単なる映像共有、情報不足)
[r/singularity] What is flow-state image generator on LmArena and is it created by Anthropic? (score=1.0, reason: 画像生成モデル推測、確定情報なし)
[r/singularity] Why can AI replace entry level software engineers, lawyers and financial analysts. But why do people think it’s so difficult to replace people trades with AI and robotics? (score=1.0, reason: 一般的なAI能力の考察。既出の議論で新規性に欠ける)
[r/singularity] Is MiMo lowkey slept on? (score=1.0, reason: 特定モデルの雑感。実質的な情報価値が低い)
[r/singularity] Three Inverse Laws of AI and Robotics (score=1.0, reason: 理論的フレームワーク提案。専門的だが実用性や話題性が不足)
[r/singularity] Benchmarks in 2024 (score=1.0, reason: ベンチマーク論議。詳細不明で評価困難)
[r/singularity] What is Elon’s actual plan with data centers in space, and what is his long-term goal with Mars? (score=1.0, reason: (判定漏れ))